As in previous experiments, we sample 50 independent trajectories with random initial conditions, for every combination of training duration and noise depicted in Figure REF . For every trajectory, we run MIOSR with and without constraints, as well as SR3 with and without constraints, as it is the only baseline which naturally accommodates constraints. To stay consistent with [1]}, we use a third order polynomial library with a sample rate of 0.01 seconds. Additionally, we do not unbias the coefficients after feature selection and report the average constraint violation \(\frac{1}{c}\Vert A \hat{\xi } - b \Vert _1\)  where \(c\)  is the number of constraints.
